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Robust chattering free adaptive neuro sliding mode control for svc system
Mahayana D.a, Anwari S.b
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Indonesia
b Department of Electrotechnic ITENAS Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Recently, there has been a surge of interest in the development and use of Flexible AC Transmission Systems (FACTS) controllers in power transmission systems. The most popular type of FACTS devices in terms of application is the Static Var Compensator (SVC). In FACTS, there are many uncertainties such as sudden load shedding, generation tripping, occurrence of faults, change of parameters, and network configuration. Traditional linear controllers have many difficulties in treating these uncertainties. To overcome this problem, sliding mode control (SMC) has been widely used as one of the precise and robust algorithms. Although classical SMC is a powerful scheme for nonlinear systems with uncertainty, this control scheme has important drawbacks limiting its practical applicability, such as chattering and excessive control action. To alleviate the problems, the discontinuous part of the control signal in the classical SMC is substituted by neural network to eliminate the chattering phenomenon. The neuro sliding mode proposed in this paper consist of a one layered neural network whose activation functions are linear. The main working principle of the controller is minimizing a cost function which is determined from the requirements of the Lyapunov stability criteria and sliding mode control theory. Simulation results show the significant improvement of transient response which practically enables the use of a neuro sliding mode controller in FACTS. © 2009 IEEE.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Activation functions,Adaptive control,Adaptive neuro sliding mode control,Chattering free,Chattering phenomenon,Control actions,Control schemes,Control signal,Facts devices,Flexible AC transmission system,Linear controllers,Load-shedding,Lyapunov stability,Network configuration,One-layered neural networks,Power transmission systems,Robust algorithm,Simulation result,Sliding mode controller,Sliding modes,Static Var compensator,Transient response,Working principles[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Adaptive control,FACTS,Neural network,Sliding mode[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICEEI.2009.5254728[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]